Metadata-Version: 2.1
Name: KSSDS
Version: 1.0.1
Summary: Korean Sentence Splitter for Dialogue System
Home-page: https://github.com/ggomarobot/KSSDS
Author: Gun Yang
Author-email: ggomarobot@gmail.com
License: MIT
Keywords: Korean NLP sentence splitter dialogue system
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: GPUtil==1.4.0
Requires-Dist: numpy<2.0,>=1.19.5
Requires-Dist: PyYAML==6.0.2
Requires-Dist: scikit_learn==1.6.0
Requires-Dist: torch==2.5.1
Requires-Dist: transformers==4.42.4

# KSSDS

Korean Sentence Splitter for Dialogue System.

KSSDS is a robust sentence splitter specifically designed for handling Korean dialogue systems. It utilizes a fine-tuned T5 model to provide high-accuracy sentence splitting.

---

## Installation

To install KSSDS, simply use pip:

```bash
pip install KSSDS
```

---

## Quickstart

Here’s how you can use KSSDS to split Korean sentences:

```python
from KSSDS import KSSDS

# Initialize the model
kssds = KSSDS()

# Split sentences
input_text = "안녕하세요. 오늘 날씨가 참 좋네요. 저는 산책을 나갈 예정입니다."
split_sentences = kssds.split_sentences(input_text)

# Print results
for idx, sentence in enumerate(split_sentences):
    print(f"{idx + 1}: {sentence}")
```

<pre style="background-color:#F5EDED; color:white; padding:10px; border-radius:5px; font-family:monospace;">
<span style="color:#a29acb;">1: 안녕하세요.</span>
<span style="color:#c3adad;">2: 오늘 날씨가 참 좋네요.</span>
<span style="color:YellowGreen;">3: 저는 산책을 나갈 예정입니다.</span>
</pre>

---

## Documentation and Details

For advanced usage, training scripts, or contributing, please visit the [GitHub Repository](https://github.com/ggomarobot/KSSDS).
